The Ultrasonic Detection of Macro-Inclusions in Steel

Wang, Min; Bao, Yan; Yang, Quan; He, Fei; Wang, Xiao Chen; Ma, Chen; Liang, Zhi Guo

doi:10.4028/www.scientific.net/amr.572.334

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…All these works are beneficial for understanding the inclusion distribution in slab, however, due to technical limit, they can only reveal the inclusion distribution in a partial area. Ultrasonic inspection [5][6][7] and X-ray detection 8) are more efficient than…”

Section: Introductionmentioning

confidence: 99%

<i>In-situ</i> Analysis and Numerical Study of Inclusion Distribution in a Vertical-bending Caster

Liu

et al. 2018

ISIJ Int.

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Based on a fast-detection platform (FDP) founded by us, an in-situ measurement of inclusion distribution in slab is successfully performed. The inclusion distribution is obviously asymmetry and non-uniform. Specially, due to the structure differences in the vertical and bending part of a slab caster, the inclusion distribution in these two parts are quite different: In the vertical part, the inclusions entrapped in the outer arc is much more than that in the inner arc, while in the bending part, the inclusions entrapped in the outer arc is a little less than that in the inner arc. Large inclusions are tend to be found near the surface, and sometimes in the center, but they're very few. Then in order to interpret the inclusion distribution in practical measurements, a new LES model is established using Euler-Lagrange approach. A new entrapment criterion is also defined to calculate the entrapped inclusions. Big inclusions are tend to float up to the mold top, and aggregate near the outer arc, which can explain the differences of inclusion distribution in the vertical part; Smaller inclusions are easier to flow deep into the mold, and become clusters when they're getting near, which can explain the big inclusions in the central part. What's more, the drag effect of bending slab is proven to be responsible for the differences of inclusion distribution in the bending part. This mathematical model is helpful for understanding the inclusion movements in slab.

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Section: Introductionmentioning

confidence: 99%

<i>In-situ</i> Analysis and Numerical Study of Inclusion Distribution in a Vertical-bending Caster

Liu

et al. 2018

ISIJ Int.

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Overview of application of automated SEM/EDS measurements for inclusion characterization in steelmaking

Babu,

Michelic

2024

MetalMat

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The scanning electron microscope equipped with an energy dispersive spectroscopy (SEM/EDS) is considered as a state‐of‐the‐art characterization tool to determine the morphological features and the chemical composition of non‐metallic inclusions in steel. Such a characterization is pivotal to assessing the steel quality, which influences the properties of end products. This paper offers a comprehensive review of the SEM/EDS system, tracing its historical developments and methodological advancements by various research groups which have contributed to non‐metallic inclusion analysis. Then the discussions transition to developments that have matured the SEM/EDS platform. The paper highlights selected examples utilizing the SEM/EDS to examine inclusions across various steel grades and at different stages of the metallurgical process. Finally, latest advancements in integrating machine learning techniques to expedite the analysis process were discussed.

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Metallurgical Characterization of Defect Observed During Ultrasonic Testing (UT) of Copper Alloy Forgings Used in Cryogenic Engines with the Aid of Computed Tomography

Joseph,

Manwatkar,

Syamkumar

et al. 2024

Lecture Notes in Mechanical Engineering

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The Ultrasonic Detection of Macro-Inclusions in Steel

Cited by 3 publications

References 4 publications

<i>In-situ</i> Analysis and Numerical Study of Inclusion Distribution in a Vertical-bending Caster

<i>In-situ</i> Analysis and Numerical Study of Inclusion Distribution in a Vertical-bending Caster

Overview of application of automated SEM/EDS measurements for inclusion characterization in steelmaking

Metallurgical Characterization of Defect Observed During Ultrasonic Testing (UT) of Copper Alloy Forgings Used in Cryogenic Engines with the Aid of Computed Tomography

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